Faze

Faze means to frighten or cause hesitation to someone.

Faze may also refer to:

See also

Faze (musician)

Chibuzor Oji better known by his stage name Faze is a Nigerian musician and actor. He is a member of the defunct Nigerian hip hop group Plantashun Boyz, along with BlackFace Naija and TuFace (better known as 2face Idibia. The group split up in 2004 and each member of the group has gone on to launch solo careers.

Faze is a best-selling Nigerian artist. His first album Faze Alone sold over three million copies, while his second album Independent has sold over 7 million copies. His third album Originality went platinum in its first month of release. He is the first Nigerian artist to have three consecutive platinum albums. Faze is known for his ability to sing the highest vocal note out of Nigerian contemporary male musicians . His collaborations include a recorded single with Wyclef Jean titled "Proud to Be African".

In 2011 Faze made his acting debut starring in the lead male role of 'Lovechild' in the critically acclaimed Nigerian movie Alero's Symphony. He also provided the movie's soundtrack for which he won an Africa Movie Academy Award in 2012, in the category of Achievement in Soundtrack.

Faze (band)

Faze was an American soul band of the 1980s and early 1990s. Their discography includes the albums Love Games (1991) and Love Affairs (1995).

References

Join

Join may refer to:

Lattice (order)

In mathematics, a lattice is one of the fundamental algebraic structures used in abstract algebra. It consists of a partially ordered set in which every two elements have a unique supremum (also called a least upper bound or join) and a unique infimum (also called a greatest lower bound or meet). An example is given by the natural numbers, partially ordered by divisibility, for which the unique supremum is the least common multiple and the unique infimum is the greatest common divisor.

Lattices can also be characterized as algebraic structures satisfying certain axiomatic identities. Since the two definitions are equivalent, lattice theory draws on both order theory and universal algebra. Semilattices include lattices, which in turn include Heyting and Boolean algebras. These "lattice-like" structures all admit order-theoretic as well as algebraic descriptions.

Lattices as partially ordered sets

If (L, ≤) is a partially ordered set (poset), and S⊆L is an arbitrary subset, then an element u∈L is said to be an upper bound of S if s≤u for each s∈S. A set may have many upper bounds, or none at all. An upper bound u of S is said to be its least upper bound, or join, or supremum, if u≤x for each upper bound x of S. A set need not have a least upper bound, but it cannot have more than one. Dually, l∈L is said to be a lower bound of S if l≤s for each s∈S. A lower bound l of S is said to be its greatest lower bound, or meet, or infimum, if x≤l for each lower bound x of S. A set may have many lower bounds, or none at all, but can have at most one greatest lower bound.

Join (SQL)

A SQL join clause combines records from two or more tables in a relational database. It creates a set that can be saved as a table or used as it is. A JOIN is a means for combining fields from two tables (or more) by using values common to each. ANSI-standard SQL specifies five types of JOIN: INNER, LEFT OUTER, RIGHT OUTER, FULL OUTER and CROSS. As a special case, a table (base table, view, or joined table) can JOIN to itself in a self-join.

A programmer writes a JOIN statement to identify records for joining. If the evaluated predicate is true, the combined record is then produced in the expected format, a record set or a temporary table.

Sample tables

Relational databases are usually normalized to eliminate duplication of information such as when objects have one-to-many relationships. For example, a Department may be associated with a number of Employees. Joining separate tables for Department and Employee effectively creates another table which combines the information from both tables. This is at some expense in terms of the time it takes to compute the join. While it is also possible to simply maintain a denormalized table if speed is important, duplicate information may take extra space, and add the expense and complexity of maintaining data integrity if data which is duplicated later changes.